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Remote Data Optimization Jobs in Oregon (NOW HIRING)

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a senior individual contributor role open to remote candidates across the United States ... Optimizing warehouse performance and reducing compute spend. * Implementing secure access controls ...

Sr. Epic Data Acquisition Analyst

$85K - $108K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 340B optimization and analytics platform. Serves as the senior technical lead for Epic data ... Position Location This is a remote-based position within the Continental US. Who We Are VytlOne is ...

Senior Finance BI Scientist

$146K - $235K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design conceptual, logical, and physical data models to aggregate and structure data for optimized ... Employee is not required to be in or near an office frequently and works from a designated remote ...

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

... development, optimization, and enhancement of our recoveries and collections strategy. You'll ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... by optimizing device performance and advancing yield knowledge. The company serves customers ... A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate ...

More specifically, we are seeking engineers who love scaling and optimizing the performance of ... You are passionate about efficiency, availability, scalability and data governance. * You thrive in ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... lead optimization strategies by integrating chemical, biological, and clinical data sources.

Showing results 21-40

Remote Data Optimization information

What is a remote data optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What are the key skills and qualifications needed to thrive as a remote data optimization specialist?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting, updating, and managing data from a home environment. These roles often require basic computer skills, attention to detail, and familiarity with spreadsheet or database software. They are commonly offered by companies seeking flexible, part-time, or freelance workers.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are popular job titles related to Remote Data Optimization jobs in Oregon?

For Remote Data Optimization jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Data Optimization jobs in Oregon look for?

The top searched job categories for Remote Data Optimization jobs in Oregon are:

What cities in Oregon are hiring for Remote Data Optimization jobs?

Cities in Oregon with the most Remote Data Optimization job openings:

Infographic showing various Remote Data Optimization job openings in Oregon as of August 2026, with employment types broken down into 96% Full Time, 2% Temporary, and 2% Contract. Highlights an 2% In-person, and 98% Remote job distribution.

Senior Data Scientist (I & II)

Instacart

OR • Remote

Full-time

Re-posted 28 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 rated delivery companies


Job description

Overview

This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we'll do a team-matching exercise to determine which of the open roles/teams you'll join. At the bottom of this posting, you'll find a breakdown of the currently open roles.

About the Job

  • Own analytical frameworks that guide the product roadmap.
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
  • Develop statistical models to extract trends, measure results, and predict future performance of our products.
  • Build simulations to project the impact of various product and policy interventions.
  • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
  • Present findings in a compelling way to influence Instacart's leadership.

About You

Minimum Qualifications

  • 5+ years of experience working in a quantitative role at a product company or a research organization.
  • Ability to run rigorous experiments and generate scientifically sound recommendations.
  • Ability to write complex, efficient, and eloquent SQL queries to extract data.
  • Ability to write efficient and eloquent code in Python or R.
  • A desire to build and improve consumer software products.
  • Ability to translate business needs into analytical frameworks.
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company.

Preferred Qualifications

  • Awareness of business trade-offs when working on a multi-sided marketplace.
  • Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level.
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.

Currently Opened Roles

Order Experiences (Search) | Sr. Data Scientist I (L5/6)

The Order Experiences (Search) team is focused on making it fast and effortless for customers to find the right items and complete their order with confidence. As a Senior Data Scientist, you'll own the analytics and experimentation strategy that powers how we interpret customer intent and surface the most relevant results-driving search conversion, order rate, and GTV. You'll partner closely with Product, Engineering, and ML to shape the roadmap for search relevance and ranking quality, running experiments across retrieval, ranking, and search UX while connecting offline model evaluation to real-world business outcomes.

Marketing | Sr. Data Scientist I (L5)

The Marketing Data Science team is responsible for measurement and optimization across Instacart's paid digital channels, including search, shopping, display, social, and video. As a Senior Data Scientist, you'll build and maintain sophisticated attribution models-including multi-touch and incrementality-based approaches-and develop scalable data pipelines to turn raw marketing data into clean, analysis-ready datasets. You'll apply causal inference methods such as geo holdouts and difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering, and business teams to define measurement frameworks and drive data-informed decisions. You'll also model user lifetime value (LTV) across acquisition cohorts, quantifying how marketing spend and channel mix influence long-term retention and monetization to inform budget allocation and growth strategy

#LI-Remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012